blackHigh-Resolution Testing Dataset.
To further explore the performance of HR inpainting, we also test the inpainting ability on both MatterPort3D [1]} and our released HR image dataset.
MatterPort3D [1]} comprises 1,965 indoor images in 1280\(\times \) 1024, which is used to evaluate the HR inpainting ability in man-made scenes. We resized them into 1024\(\times \) 1024.
For the HR cases with more diversity, we newly release a group of high-quality images collected from Flickr with downloading permissions from owners, called HR-Flickr.
HR-Flickr consists of 500/500/490 HR images with resolutions 1k, 2k and 4k respectively as shown in the supplementary. Images from each group of specific resolution have maximum side lengths which are equal to the corresponding group resolution (1024, 2048, 4096).
Moreover, images with persons are eliminated by segmentation methods and manually checking from HR-Flickr to reduce the privacy risk as far as possible. Compared with other HR dataset, such as DIV2K and Flickr2K [3]}, our dataset contains 4k images. Besides, HR-Flickr has more diverse and challenging cases for image inpainting, while we manually filter images with too simple textures or monotonous scenes. To better validate the effectiveness, we use three types of masking from [4]} to test the HR inpainting in HR-Flickr, which include thin, medium, and thick brush masks. The HR-Flickr dataset will be released to the community.
